Zero-Shot Learning
Zero-Shot Learning (ZSL) is a machine learning technique that enables models to recognize and classify objects, concepts, or tasks without having seen any labeled examples of those categories during training. Instead of relying on direct examples, zero-shot models leverage semantic...
VLM (Vision Language Model)
VLM (Vision-Language Model) refers to a class of AI systems that can process and understand both visual and textual information. These models learn to align images with corresponding text, enabling tasks such as image captioning, visual question answering, and multimodal...
Vector Database
A Vector Database is a specialized type of database that stores and searches high-dimensional vector embeddings. These embeddings represent data—such as text, images, or audio—in numeric form to capture semantic meaning. As a result, vector databases support tasks like semantic...
Unsupervised learning
Unsupervised Learning is a machine learning paradigm where a model learns patterns directly from unlabeled data. Without predefined labels or targets, the model discovers hidden structures, groupings, or distributions within the dataset. Common unsupervised techniques include clustering, where data is...
Trustworthy AI
Trustworthy AI refers to artificial intelligence systems that are ethical, transparent, and reliable. These systems align with human values and meet societal expectations. As a result, they ensure safety, fairness, and accountability throughout their lifecycle. Trustworthy AI supports responsible adoption...
Tree of Thoughts
Tree of Thoughts is a reasoning framework designed for large language models (LLMs) that guides them to explore multiple reasoning paths before settling on a final answer. Rather than following a single, linear chain of thought, the model branches out...
Transformer Model
Transformer Model is a neural network architecture introduced in the 2017 paper “Attention is All You Need.” It serves as the foundation for most modern AI systems. Unlike older recurrent models, transformers process input in parallel. They use self-attention to...